Embedded foot plantar classification system using Raspberry Pi
| dc.contributor.author | Anyamanee Niemhom | |
| dc.contributor.author | Tanapon Keatsamarn | |
| dc.contributor.author | Chuchart Pintavirooj | |
| dc.date.accessioned | 2025-07-21T05:59:15Z | |
| dc.date.issued | 2018-01-01 | |
| dc.identifier.doi | 10.1109/iwait.2018.8369717 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/7068 | |
| dc.subject | Raspberry Pi | |
| dc.subject | Foot (prosody) | |
| dc.subject.classification | Diabetic Foot Ulcer Assessment and Management | |
| dc.title | Embedded foot plantar classification system using Raspberry Pi | |
| dc.type | Article |